Proceedings of the 3rd International Conference on Law, Social Sciences, and Education, ICLSSE 2021, 09 September 2021, Singaraja, Bali, Indonesia

Research Article

The Application of Active and Passive Remote Sensing Data for Drought Detection

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  • @INPROCEEDINGS{10.4108/eai.9-9-2021.2313638,
        author={A Sediyo  Adi Nugraha and I Putu  Ananda Citra},
        title={The Application of Active and Passive Remote Sensing  Data for Drought Detection},
        proceedings={Proceedings of the 3rd International Conference on Law, Social Sciences, and Education, ICLSSE 2021, 09 September 2021, Singaraja, Bali, Indonesia},
        publisher={EAI},
        proceedings_a={ICLSSE},
        year={2021},
        month={12},
        keywords={landsat 8 oli/tirs sentinel 1-a drought lst tvdi},
        doi={10.4108/eai.9-9-2021.2313638}
    }
    
  • A Sediyo Adi Nugraha
    I Putu Ananda Citra
    Year: 2021
    The Application of Active and Passive Remote Sensing Data for Drought Detection
    ICLSSE
    EAI
    DOI: 10.4108/eai.9-9-2021.2313638
A Sediyo Adi Nugraha1,*, I Putu Ananda Citra1
  • 1: Universitas Pendidikan Ganesha
*Contact email: adi.nugraha@undiksha.ac.id

Abstract

This study aims to find out how to detect drought by examining distribution using active and passive sensors. Active sensors use Sentinel 1-A and RGB composites as a drought detection approach combined with vegetative indices. The passive sensors use Landsat 8 OLI/TIR with the TVDI method and emphasize the surface temperature and vegetation index. The results showed that active sensors with RGB Composites could distinguish drought conditions even with conspicuous residential areas. Whereas passive sensors with TVDI clearly show the propagation of drought. The TVDI itself is performed by knowing the relationship between surface temperature and vegetation index where the results indicate a high association of 0.99 and 0.97. It suggests that the 1-A sentry still needs a unique algorithm to identify droughts compared to Landsat.